黄亦辉,翁海敏,倪娇娇,等.多组学技术在探索胃癌免疫治疗标志物中的研究进展[J].肿瘤学杂志,2023,29(10):818-827.
多组学技术在探索胃癌免疫治疗标志物中的研究进展
Research Progress of Multiomics Techniques in Exploring Immunotherapy Markers for Gastric Cancer
投稿时间:2023-09-04  
DOI:10.11735/j.issn.1671-170X.2023.10.B003
中文关键词:  胃肿瘤  免疫疗法  预测标志物  多组学  精准诊疗
英文关键词:gastric cancer  immunotherapy  predictive markers  multi-omics  precision diagnosis and treatment
基金项目:浙江省中医药重点研究项目(2021ZZ005)
作者单位
黄亦辉 浙江中医药大学第二临床医学院 
翁海敏 浙江中医药大学第二临床医学院 
倪娇娇 浙江省肿瘤医院中国科学院杭州医学研究所 
应杰儿 浙江省肿瘤医院中国科学院杭州医学研究所 
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中文摘要:
      摘 要:以免疫检查点抑制剂为代表的免疫治疗已改变了胃癌的治疗格局,但由于胃癌的复杂性和异质性,仅有部分人群可从免疫治疗中获益,目前缺乏有效的疗效预测指标。近年来,随着高通量测序技术的普及,免疫标志物研究从单一组学发展到多组学整合,包括基因组学、转录组学、表观遗传学、微生物组、代谢组学、蛋白质组学、影像组学等。多组学整合从多维度揭示胃癌免疫应答内在机制,鉴定具有预后和疗效预测功能的生物标志物。人工智能技术解决了多组学数据的复杂性,并推动建立免疫优势人群筛选模型,最终实现肿瘤精准医疗。全文综述了不同组学技术探索胃癌免疫治疗标志物的研究进展,特别强调了多组学整合在其中的重要性,并展望了胃癌精准免疫治疗应用体系的未来。
英文摘要:
      Abstract: Immunotherapy represented by immune checkpoint inhibitors has changed the treatment pattern of gastric cancer. However, due to the complexity and heterogeneity of gastric cancer, only some people benefit from immunotherapy, and there is currently a lack of effective predictors of efficacy. Therefore, it is of great clinical significance to find new biomarkers and identify advantageous populations. In recent years, with widely using high-throughput sequencing technology, immunomarker research has developed from single-omics to integration of multiple omics(multi-omics), including genomics, transcriptomics, epigenetics, microbiome, metabolomics, proteomics, radiomics, etc. Multi-omics reveals the intrinsic mechanism of immune response to gastric cancer from multiple dimensions, and identifies novel biomarkers for prediction of treatment efficacy and prognosis of patients. Artificial intelligence technology is conducive to solve the complexity of multi-omics data, to develop screening models for identifying immunologically advantageous population, and ultimately to realize the precision medicine for cancer patients. This paper reviews the research progress of various omics techniques and the integration of multiple omics in exploring immunotherapy markers for gastric cancer, and discusses the prospect of precision immunotherapy application system for gastric cancer based on multi-omics.
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